CN101257841A - Method and apparatus for rapid interpretive analysis of electrocardiographic waveforms - Google Patents

Method and apparatus for rapid interpretive analysis of electrocardiographic waveforms Download PDF

Info

Publication number
CN101257841A
CN101257841A CNA2006800252608A CN200680025260A CN101257841A CN 101257841 A CN101257841 A CN 101257841A CN A2006800252608 A CNA2006800252608 A CN A2006800252608A CN 200680025260 A CN200680025260 A CN 200680025260A CN 101257841 A CN101257841 A CN 101257841A
Authority
CN
China
Prior art keywords
ecg waveform
ecg
waveform
computer
group
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CNA2006800252608A
Other languages
Chinese (zh)
Other versions
CN101257841B (en
Inventor
S·L·山挺
N·R·帕特尔
R·G·哥奇兰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Biotel Research LLC
Original Assignee
Cardiocore Lab LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Cardiocore Lab LLC filed Critical Cardiocore Lab LLC
Publication of CN101257841A publication Critical patent/CN101257841A/en
Application granted granted Critical
Publication of CN101257841B publication Critical patent/CN101257841B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/364Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/366Detecting abnormal QRS complex, e.g. widening
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques

Abstract

The present invention provides a method for analyzing a subject-visit group of ECG waveforms captured digitally on an electrocardiograph machine, on a Holter monitor device or digitized from paper electrocardiograms. A cardiologist selects a subject-visit group from a number of subject-visit groups, and each ECG waveform of the subject-visit group is scanned for artifact. Those ECG waveforms containing artifact are annotated appropriately. A determination is made if measurement calipers are present in each ECG waveform, measurement calipers are added to ECG waveforms lacking measurement calipers, and a preliminary interpretation is assigned to each ECG waveform that lacks a preliminary interpretation. Each ECG waveform is assigned a grouping metric, and the ECG waveforms are segregated according to their grouping metric for display and evaluation.

Description

The method and apparatus that is used for rapid interpretive analysis of electrocardiographicwaveforms waveforms
With reference to related application
[0001] the application requires to submit to May 13 in 2005 priority of No. the 60/680th, 525, the U.S. Provisional Application of American National patent and trademark office, and the disclosure integral body of this application is incorporated this description into as a reference.
Technical background
[0002] heart is a pump of being made up of the muscular tissue of response electricity irritation.Heart beating is an activity that quilt is accurately controlled, and it depends on atrium and Interventricular synchronization with maximization pump blood efficient.The sinuatrial node that is positioned at the heart right atrium produces electricity irritation.Its sinuatrial node of the people of a health produces electrical stimulation signal with the frequency of 60-100Hz usually, and the excitement of cardiac muscle and the fluctuation of contraction are spread all over heart in clear and definite mode.Electrical stimulation signal causes that the chambers of the heart shrinks, thereby the chambers of the heart is crossed in the blood pump warp let-off.The at first of short duration contraction of the left atrium of heart, the of short duration contraction of left and right ventricles then.Normal cardiac rhythm is called " hole " rhythm of the heart, because it originates from sinuatrial node (being also referred to as the hole knot).The electrical stimulation signal of sinuatrial node output at first is sent to left atrium, enters left and right ventricles by atrioventricular node then.
[0003] electrocardiogram (" ECG ") is measured the electrical activity of heart.Electrode arrangement is caught the track of cardiac electrical activity in the specific region of health.The electrical activity that is produced by cardiac depolarization and heart repolarization is by each record that leads.ECG is the stack by the information of the record that respectively leads.The ECG that catches has reflected sense of current and unpolarized muscle quantity.Therefore, because the atrium is than little many of ventricle, when the atrium depolarization is compared littler when the ECG track is with ventricular systole when (with shrinking).Ventricular bipolarization is identical direction (positive) with depolarization.Though ECG when the film depolarization for just in repolarization the time for negative since ventricle from inside to outside (endocardium is to visceral pericardium) so the depolarization direction is identical with respect to ventricle, and repolarization is in opposite direction generation.
[0004], is illustrated as an ECG track with reference to figure 1.Cardiac cycle starts from a P ripple, and wherein the spontaneous discharge cell in the sinuatrial node reaches a threshold value and produces action potential.Depolarization wave propagates into the left side and downwards by left atrium, this is labeled as " P ripple " in Fig. 1.Become depolarization and positive deflection of ECG record by the atrium of hyperpolarization suddenly.When left atrium became depolarization, ECG got back to 0.Electric current produces 1/10th seconds delay by atrioventricular node.Because the atrioventricular node quality is little, the ECG track does not write down any electrical activity.When the atrioventricular node depolarization, it triggers the depolarization of Purkinje fiber (Purkinje fiber).The Purkinje fiber spreads all over left and right ventricles with the electric current diffusion, thereby makes the depolarization simultaneously of each ventricle.Because the liver mass of Purkinje fiber is little, the ECG track does not write down any electrical activity.Electric current is noted as " PR section " through passing through of atrioventricular node and Purkinje fiber in Fig. 1.
[0005] depolarization of left and right ventricles refers to " QRS complex wave/wave group ", and Fig. 1 so marks.Because the left and right ventricles tissue is bigger than sinuatrial node, so the QRS wave group is very big.Three peaks have represented that electric current spreads all over left and right ventricles (mode from inside to outside), and represented the liver mass fact big than the liver mass of right ventricle of left ventricle just.Left and right ventricles depolarization completely represents that the QRS wave group finishes.
[0006], the end points of QRS wave group is marked with reference to figure 2.As mentioned above, the QRS wave group has been represented the depolarization of left and right ventricles.Ventricular depolarization start from indoor every the left side, and this unpolarized peak is represented by " Q " peak of QRS wave group.Ventricular depolarization is propagated to the epicardial surface of left ventricle from the endocardial surface of left ventricle, and is represented by " R " peak of QRS wave group.Ventricular depolarization is represented by " S " peak of QRS wave group to the propagation of right ventricle.
[0007] segment table that is labeled as " T ripple " among Fig. 1 shows the repolarization of left and right ventricles.Though left and right ventricles is just in repolarization and since heart from outside to inside repolarization so T ripple be positive, this is the depolarization rightabout of (from inside to outside).The end that the complement mark of T ripple signal cardiac cycle.
[0008] with reference to figure 3, the electrical activity track of being caught is printed on the paper tape or is presented on the display.The situation that the various hearts of unusual expression on the ECG waveform are relevant, as anemia, myocardial infarction, the conduction imbalance, electrolyte disturbance, pericarditis, valve disease or heart become big.Some arrhythmia may be intermittently to take place or only occur some or take place during physical factors (just, pressure, fatigue etc.) at heart.Because typical ECG track has only the length of a few minutes, so such arrhythmia defies capture.A kind of longer ECG track that is called holter (Holter) monitor controller is used for catching any arrhythmia or other abnormal movements.The Holter monitor controller can write down several days cardiomotility.
[0009] with reference to figure 1, measured wherein one section be called the QT interval, the QT interval, represent to control the persistent period of the electrical activity that myocardial cell shrinks.The QT interval, represented the persistent period of ventricular depolarization and follow-up repolarization, starts from Q ripple initial of QRS wave group and end at the T ripple and get back to equipotential baseline.The QT interval, prolongs and produces an electric physiological environment of facilitating the heart rhythm abnormality, and described rhythm abnormality majority generally is torsades de pointes ventricular tachycardia (torsade depointes), but also may be that other ventricular rhythms are unusual.Long QT syndrome is identified in the ECG track situation that has a unusual long QT interval.Term " congenital long QT " refers to the long QT interval of heredity.Mode of inheritance be because special heart cell is proteinic irregular, certainly these proteinic irregular be by making causing unusually in those proteinic genes.Term " acquired long QT " refers to long QT interval, and it is to be caused by the salt of unusual level in medicine or the blood (for example, potassium and magnesium).
[0010] though people may have a common Q T interval under normal condition, when he takes certain medicine, just may cause the QT of prolongation or stand torsades de pointes ventricular tachycardia (" TdP ").As shown in Figure 4, TdP refers to the characteristic electrocardiogram profile of a kind of rhythm abnormality of expression, and the QT interval that generally prolongs on electrocardiogram takes place when setting up.TdP is a kind of polymorphic heart ventricle arrhythmia, and it shows as near the continuous distortion of the QRS wave group vector isoelectric level baseline in the ECG track.The feature of TdP is the significant prolongation of QT interval during hole is beated before the arrhythmia.TdP may deteriorate to the rhythm of the heart that is in peril of one's life, and it may cause fainting or sudden death.The measurement of QT interval determines still whether a people has the main method of long QT interval syndrome (being heritability or acquired) in the ECG track.
[0011] non-antiarrhythmic drug has the adverse side effect that causes the heart repolarization that is delayed.Because the relation of itself and heart rate, the QT interval, be standardized as " correction " value that is independent of heart rate, i.e. QT cInterval, the QT interval when it has represented a standardization heart rate (coming down to the QT interval when the 60bmp heart rate).Cause the several drugs of TdP to increase absolute QT interval and QT significantly cInterval.
Summary of the invention
[0012] illustrative, the unrestriced embodiment of the present invention has overcome multiple shortcoming.In addition, the present invention must overcome these shortcomings, and illustrative, unrestriced embodiment of the present invention can not overcome any shortcoming.
According to an embodiment, provide a kind of method that is used to analyze the ECG waveform of experimenter observation group.In one embodiment, this method is selected an experimenter observation group from a plurality of experimenter observation group, and whether each ECG waveform of scanning experimenter observation group has artefact, and note comprises the ECG waveform of artefact.Equally, this method determines whether that surveyors' staff is all arranged and is that the ECG waveform that lacks surveyors' staff adds surveyors' staff in each ECG waveform.This method also is included as each the ECG waveform that lacks preliminary parsing and distributes preliminary a parsing.In addition, this method is that each ECG waveform distributes a grouping to measure and measure the ECG waveform separately so that show and assessment according to their grouping.
According to another one embodiment, device and the software program of carrying out this method are provided.
[0013] the present invention's additional aspect illustrative, unrestriced embodiment will partly be illustrated in the following description.Simultaneously, this area technical staff can be after consulting the application understands aspect other by carrying out routine experiment.
Description of drawings
[0014] the present invention's feature and advantage illustrative, unrestriced embodiment will become more obvious by describing some embodiment in detail.The accompanying drawing that is merged in this description and forms this description part has been set forth some example embodiment.Among the figure:
[0015] Fig. 1 is the legend of ECG track of each section of the electric profile of a normal heart beating of sign;
[0016] Fig. 2 also is the ECG track legend of each section of the electric profile of a normal heart beating of sign;
[0017] Fig. 3 is the legend of output of leading ECG or Holter (long time dynamic cardiac electric drawing system) watch-dog from 12;
[0018] Fig. 4 is the legend that shows the ECG track of torsades de pointes ventricular tachycardia (" TdP ");
[0019] Fig. 5 extracts section legend of the non-restrictive example of the computer system of analyzing from a Holter record;
[0020] Fig. 6 is the flow chart of non-limiting example of the method for a kind of fast resolving electrocardiogram trace of explanation;
[0021] Fig. 7 A is a kind of flow chart based on the first of the non-limiting example of the method for metric grouping electrocardiogram trace that is used for that cardiologist resolves of explanation;
[0022] Fig. 7 B is a kind of flow chart based on the second portion of the non-limiting example of metric grouping electrocardiogram trace that is used for that cardiologist resolves of explanation;
[0023] Fig. 8 is based on the non-limiting example of three waveforms of R peak alignment separately; With
[0024] Fig. 9 shows that computer can analyze the non-limiting example of waveform of the curve lower zone (AUC) of the waveform that aligns.
The specific embodiment
[0025] with reference to the accompanying drawings, now illustrative, the non-limiting example of the present invention to be described more fully.A common example according to an operable computer (not shown) of embodiment will be described below.
[0026] this computer comprises one or more processors or processing unit, system storage and bus, and described bus will connect each system component.Bus can be the bus structures of one or more any some types, comprises memory bus or memory controller, peripheral bus, Accelerated Graphics Port and processor or adopts any multiple bus-structured local bus.System storage comprises read only memory (" ROM ") and random access memory (" RAM ").Basic input/output (" BIOS ") can comprise the program of the interelement transmission information that for example helps in computer during guiding.BIOS can be stored among the ROM or independently in the memorizer.
[0027] this computer also comprises a hard disk drive and is used for one or more hard disk (not shown) are carried out read and write.Some computers comprise a disc driver and are used for a moveable magnetic disc is carried out read and write, and/or comprise a CD drive and be used for a removable CD is read or write such as CD ROM or other optical mediums.Hard disk drive, disc driver and CD drive are connected to bus with suitable interface.Driver and associated computer-readable medium provide the non-volatile memories of computer-readable instruction, data structure, program module and other data of computer.Though the exemplary operation environment that this description is described uses hard disk, moveable magnetic disc and removable CD, but it will be understood by those skilled in the art that the computer-readable medium that also can use other types, as tape, flash card, digital video disk, RAM, ROM, carrier wave, transmission etc.
[0028] many program modules can be stored on hard disk, disk, CD, ROM or the RAM, and these modules generally comprise operating system, at least one or more multiple utility program, other program modules and routine data.In some computers, the user can by such as the input equipment of keyboard and pointing device to computer input command and information.Other input equipment (not shown) can comprise mike, stick, game mat, satellite antenna and/or scanner.Yet computer may not have the input equipment of these types in some examples.These and other input equipments link to each other with processing unit by the interface that is connected to bus.In some computers, monitor or other types display device also can by interface for example video adapter be connected to bus.Yet some computers do not have the display device of these types.Except monitor, computer has other peripheral outut device (not shown), for example speaker and printer.
[0029] computer can but be not must be operated in the networked environment that the one or more logics that use remote computer connect.Remote computer can be another person's computer, server, router, network PC, peer device or other common network node, and generally comprises above-described many or all elements relevant with computer.Logic connection to computer can comprise LAN (" LAN ") and wide area network (" WAN ").This networked environment is very common on office, enterprise-wide. computer networks, Intranet and the Internet (Internet).
[0030] when computer is used for the LAN networked environment, it is connected to local network by network interface or adapter.When computer was used for the WAN networked environment, it generally comprised modem or is used for setting up on such as Internet at wide area network other devices of communication.May be that the modem inner or outside is connected to bus by serial port interface.In networked environment, computer program module or several parts wherein can be stored in the memory storage device of remote computer.It is exemplary that network shown in should understanding connects, and can use other devices of setting up communication link at intercomputer.
[0031] common, the data processor of computer is programmed with instruction, and these instructions are stored on the various computer-readable recording mediums with different time.Program and operating system for example generally are distributed on floppy disk or the CD-ROM.Therefrom, they are mounted or are loaded into the additional storage of computer.During execution, they are loaded into the main electronic memory of computer at least in part.Illustrative of the present invention, non-limiting example can comprise these and other dissimilar computer-readable recording mediums, and these media comprise instruction and the program that is used for carrying out with microprocessor or other data processors the operation that describes below.When according to following method and technology during to computer programming, some embodiment also can comprise computer itself.
[0032] an illustrative embodiment of the invention comprises the method and apparatus that is used for assisting cardiologist assessment ECG waveform.This embodiment can comprise a computer, more inexperienced cardiologist of assisting expert's level cardiologist of imitation aspect its ECG track of catching in parsing.These ECG tracks or waveform can carry out digitized by electrocardiograph or Holter watch-dog catches, and perhaps they can carry out digitized from the papery electrocardiogram.
[0033] in one embodiment, the ECG track is resolved on artefact and the trial property ground in the computer identification ECG track.Computer also can be according to the more several ECG waveforms of waveform Given information, and the waveform that correspondingly divides into groups.
[0034] for example, if cardiologist has been normal waveform with a wave label and has been unusual waveforms with the another one wave label that computer just can determine that these two waveforms are not on the same group waveforms mutually, even their more total features.In addition, if cardiologist has changed the computer analyzing of waveform, computer can be analyzed these variations and according to changing residual waveform be divided into groups again.
[0035] in addition, the ECG track is with multiple different stored in file format, as FDA XML, Mortara XML (as from E-Scribe output) and
Figure A20068002526000101
Same, computer can comprise transformation warehouse, these transformation warehouses help the ECG track with a kind of form storage in these forms is converted to the form that computer uses.Therefore, transformation warehouse allows Computer Processing to have the ECG track of consolidation form, and needn't worry other details of specific form, sample rate, record length or raw ECG track data.Thereby this embodiment can not rely on data file size, form, sample rate, bit-depth and scale factor and operates.
[0036] in addition, the Holter log file generally will comprise 12 data of leading of a per second 1k sampled point of 24 or 48 hours.In one embodiment of the invention, calculating function handles and at least 48 hours * 12 leads * the Holter record of a per second 1k sampled point.Yet the present invention obviously is not subject to such an embodiment, and computer can be handled longer record or with the higher and/or record that obtains of low sampling rate more.
[0037] Fig. 5 shows the example of a computer that can be used for illustrative of the present invention, non-limiting example.Computer comprises processor 50, user interface 51 and local storage 54.As mentioned above, processor 50 can comprise one or more processors, and user interface 51 also can comprise monitor, keyboard, mouse, touch screen etc.Processor 50 is connected to local storage 54 by a bus (or some buses), and local storage 54 can comprise various types of disk memory, electronic memory (being RAM, ROM etc.) or its different combination.Processor 50 also can be visited remote memory 53, and it can comprise various types of data storage machines and/or server.
[0038] remote memory 53 or local storage 54 storage Holter log files 52.Equally, when memorizer 53 in this example or 54 storage Holter log files 52, remote memory 53 or local storage 54 can be additionally or are stored the digital ECG waveform of catching through other devices alternatively.For example, memorizer 53 or 54 can store catch through the electrocardiogram machine or from the digitized waveform of papery electrocardiogram.In any case processor 50 is from memorizer 53 or 54 visit Holter log files 52.
[0039] though in Holter log file 52 length of ECG track is not had the stipulated time restriction, the typical length of ECG track is approximately 10 seconds.In the present embodiment, the time restriction of track is configurable, and the time restriction of acquiescence is 10 seconds.Equally, in one embodiment, computer is clipped the ECG track longer than the time restriction that is disposed.
[0040] three aspects that computer also can deal with data.First aspect is experimenter observation group (" SVG ").SVG is one group of all the ECG track that obtains for fc-specific test FC person, and these tracks can obtain during the single reference institute or during independent one day record.Second aspect is an independent ECG track, and its general length is 10 seconds, although other times length also is possible.The ECG track can extract from a long or successive record, and perhaps it can be caught separately.Be disclosed in the utility model application of common pending trial about the extraneous information of from continuous record, extracting the ECG track, that this application is based on is that No. the 60/680th, 524, U.S. Provisional Application was submitted on May 15th, 2006, by S.Satin, R.Cochran and N.Patel invention, " method and apparatus (Methodand Apparatus for Sequenced Extraction from ElectrocardiographicWaveforms) that order is extracted from electrocardiographic wave " by name.For all purposes, the disclosure of these utility models and provisional application is merged in this description as a reference.The third aspect is the ECG waveform, and it is the sub-fraction of ECG track and represents a single heart beating.The length of ECG waveform will be along with changes in heart rate.
[0041] in this embodiment, computer is handled in one group of specific SVG and is shown that one or more ECG tracks, next SVG whenever, and cardiologist can assess and resolve a track or a plurality of track of demonstration.After cardiologist was finished tracks all among assessment one SVG, computer selected next SVG to be used for the cardiologist check.In one embodiment, computer is stored the longest and not resolved next SVG that selects of period according to which SVG.Alternately, computer can be selected next SVG according to the result of preliminary parsing or according to the result of Preliminary screening (but not resolving).Preliminary parsing or screening can be finished by human technician or by the automatic computing engine processing.Certainly, the track of being distinguished among the SVG of order of priority with any particular order is opposite with being confined to observe and resolve, and cardiologist can freely be selected specific SVG.
[0042] select after a SVG is used for resolving when cardiologist or computer, cardiologist or computer can check each ECG waveform to determine whether this waveform comprises " artefact ".Artefact is corresponding to ECG Wave data destroyed or that influenced by excessive noise.If the ECG waveform comprises artefact, its is by labelling correspondingly so.
[0043] same, computer may be assessed the location that each ECG waveform among the SVG is determined one group of position of rule.A point on the position of rule labelling ECG waveform, the distance on the waveform between one group of two position of rule is corresponding to distance corresponding 2 on the waveform.In one example, position of rule is involved as the part of the numerical data relevant with the ECG waveform, and can be by generations such as ECG recorder, human technician, stand-alone computer processing.In addition, Fig. 1 shows two position of rule CP1 being used to measure QT interval length and the illustrated examples of CP2.By figure obviously as can be known, the distance between position CP1 and the CP2 is corresponding to the length of interval.
[0044] in addition, if lack position of rule corresponding to the ECG waveform data, then computer can the analysing ECG waveform and is specified suitable part or the several sections of position of rule with measured waveform.Can analysis waveform and the example of the algorithm of some aspects of measured waveform at United States Patent (USP) the 6th, 580, open in No. 817, it is by name " being used to read the apparatus and method (Apparatus and Method for Reading and Analyzing ECGImages) with the analysing ECG image ", the invention people is F.Badilini, submits to May 17 calendar year 2001.The disclosure of being somebody's turn to do ' 817 patents is merged in this description as a reference for all purposes.
[0045] replacedly, cardiologist can be checked the ECG waveform and be passed through appropriate software application program appointment surveyors' staff position wherein.For example, when showing the ECG waveform, cardiologist can use mouse or other input equipments to specify position of rule to arrive the diverse location of waveform.
[0046] computer can be carried out the preliminary parsing of each ECG waveform equally, when not existing initially and tentatively waveform is related to the waveform of a particular type.In addition, computer can comprise or insert data, and these data are corresponding to the preliminary parsing in the numerical data of ECG Wave data.Replacedly, human technician can tentatively resolve by hand and the result is input to computer.In the enforcement, some characteristic of preliminary parse operation assessment ECG waveform also interrelates the waveform of itself and a particular type.For example, during preliminary the parsing, computer is that the different qualities that can assess the ECG waveform determines that tentatively waveform is corresponding to normal waveform or unusual waveforms.Further parsing can think that a unusual waveforms represents atrial fibrillation, and another unusual waveforms is represented left ventricular hypertrophy.
[0047] if computer is carried out preliminary the parsing to the ECG waveform, then it resolves the mode of waveform from the feedback of cardiologist and according to feedback adjusting in its reception.For example, after computer was carried out its preliminary parsing to the ECG waveform, cardiologist can be adjusted or revise this parsing and these corrections are input to computer.Then, computer can be adjusted the various threshold values of preliminary resolving, evaluate parameter etc. according to importing correction.
[0048] general, traditional analytical algorithm depends on the training from expert's level cardiologist.In one particular embodiment of the present invention, the work of the preliminary resolving of automatization that computer is carried out is revised or confirmed to cardiologist basically by the parsing of change computer or by accepting correct parsing.Under any situation, on the basis of batch or real-time (mutual), feedback is used to improve the performance of preliminary analytical algorithm.Because this feedback procedure, the preliminary parsing of the computer of ECG waveform is enhanced, and the workload of cardiologist is reduced.
[0049] after each ECG waveform was verified, a grouping tolerance was assigned to waveform.Grouping tolerance is one group of one or more numeral or nonnumeric (being text) value, some critical aspects of these each ECG waveforms of value reflection.Correspondingly, the computer grouping tolerance that can assess two ECG waveforms determines how similar the ECG waveform has on the meaning that heart disease is resolved.In other words, if two ECG waveforms have closely similar grouping tolerance, the viewpoint ECG waveform according to cardiologist is very similar so.
[0050] as an example, normal ECG waveform has predetermined shape and characteristic.Equally, represent certain unusual ECG waveform that predetermined shape and characteristic are arranged equally.For example, the indication patient has the unusual waveforms of atrial fibrillation that first predetermined shape and the characteristic arranged.Equally, the indication patient has the unusual waveforms of left ventricular hypertrophy that second predetermined shape and the characteristic arranged.Represent the unusual waveforms of right bundle branch block or sinus bradycardia that other predetermined shape and characteristics are arranged equally, respectively.
[0051] therefore, computer can produce grouping tolerance by the ECG Wave data is compared with the normal and unusual waveforms data of being scheduled to.For example, computer can compare the corresponding point of ECG waveform and predetermined normal waveform, and determines to be different from predetermined normal waveform or to depart from the degree of being scheduled to normal waveform at these ECG waveforms.In one embodiment, point by determining the ECG waveform and the respective point of predetermined normal waveform be what pixels at interval, the departing from of computer measurement respective point.Be that this of unit depart from can be as setting up the metric key element of grouping with the pixel.Similarly, computer can compare to determine that the ECG waveform is different from the degree of each unusual waveforms with ECG waveform and each predetermined unusual waveforms, and can adopt these deviations as setting up the metric extra key element of grouping.
[0052] computer also can determine whether any ECG waveform among the SVG all have can come to the not cardiac dirty doctor of section admit just can received preliminary parsing.The reliability of resolving is determined in the one or more aspects that computer can be assessed preliminary parsing.For example, computer can determine whether (1) waveform has artefact, and whether the artefact percentage ratio in (2) waveform is less than predetermined threshold, and whether artefact quantity or degree in (3) waveform have surpassed predetermined threshold, (4) whether the slope of T ripple (Fig. 1 and 2) in preset range, or the like.If the ECG waveform has preliminary very reliably the parsing, then computer can be cancelled the further analysis of waveform to reduce the workload of cardiologist.
[0053] secondly, the grouping of ECG waveform tolerance and other available informations are verified among the SVG, and are grouped according to their similarity degree from the viewpoint ECG waveform of cardiologist.For example, in one embodiment, computer can be assessed the ECG waveform and depart from each amount normally predetermined or unusual waveforms.If the ECG waveform departs from a predetermined waveform (for example, representing the predetermined unusual waveforms of atrial fibrillation) less than scheduled volume (for example, less than predetermined pixel quantity), then computer can be put into the ECG waveform " atrial fibrillation waveform " group.
[0054] during fractional analysis, considers the existence of any artefact previous detection or the cardiologist indication.In addition, also consider the existence of parsing that any existing preliminary parsing, cardiologist provide or the parsing of accepting automatically.If can use through the surveyors' staff position of check and correction in this, computer can be assessed these measurements in fractional analysis so, together with other grouping tolerance.
[0055] in one example, the computer ECG waveform that will not have an artefact is incorporated identical group into the ECG waveform that does not have artefact.In addition, in one embodiment, there is each ECG waveform of artefact to be assigned to the single member's group of himself.
[0056] same, in one embodiment, the ECG waveform that has parsing final, that accept is not contained in any group fully, no matter parsing final, that accept comes from cardiologist or automatic computing engine is handled.On the other hand, lack all ECG waveforms of confirm resolving and be placed into one or more groups, and those groups only comprise similar substantially each other waveform according to their similarity.
[0057] computer also can use the neutral net that is called self-organizing mapping (" SOM "), its provide with the ECG sets of waveforms between the relevant information of relation.Therefore, except similar ECG waveform sets is arrived together, SOM also provides the indication about the relation between the sets of waveforms.Especially, SOM organizes grouping with geometry and/or space mode, and it will tend to similar mutually group ground located adjacent one another or closely place like this.
[0058] same, in illustrative a, non-restrictive example, the have the ability quality of control ECG waveform grouping of cardiologist.For example, when the ECG waveform is grouped, the tension that their may be divided (for example, should be brought together) or loose excessively (the ECG waveform that for example, should gather is separated) on the same group ECG waveform not.Because cardiologist is had to study the waveform that has divided into groups and revised these groupings, the multiplex (MUX) does so arbitrary situation has all caused more to cardiologist.By grouping being tightened up or loosens, the mode that cardiologist can optimization computation machine grouping waveform.
[0059] as an example tightening up or loosen grouping, cardiologist can be adjusted the ECG waveform and (for example depart from predetermined waveform, be scheduled to the atrial fibrillation waveform) and (for example still be grouped into predetermined sets of waveforms, " atrial fibrillation waveform " group) the predetermined maximum (for example, the maximum quantity of pixel) in.For example, the assumed calculation machine has comprised certain waveform mistakenly in " atrial fibrillation waveform " group.In this case, by reducing the predetermined maximum (for example, the quantity of pixel) that waveform departs from predetermined waveform and still is placed into this group, cardiologist can instruct computer determine that more selectively which waveform belongs to " atrial fibrillation waveform " group.
[0060] same, computer can have single screen to show all ECG sets of waveforms relevant with specific SVG.As an example, screen can have many square frames, and each square frame can show all ECG waveforms of distributing to single group.Equally, computer can cover the ECG waveform, and the doctor can select Holter to lead by using mouse or other equipment moving cursors to go up and select it to leading.If many square frames are arranged simultaneously on screen, can set up a roll display, and computer can be according to the waveform quantity that comprises with the group differentiation order of priority.Then, computer can show the square frame corresponding to the closeest group at the top of roll display.
[0061] by showing the ECG sets of waveforms in top mode, cardiologist can a glance just see how the ECG waveform is grouped.If cardiologist is thought ECG waveform grouping too tight (putting into square frame very little), then cardiologist can order input computer be grouped into the ECG waveform group of above-mentioned bigger quantity again.Similarly, if the ECG waveform is unnecessarily separated, then cardiologist can be grouped into the more group of smallest number with the ECG waveform by input command again.
[0062] same, computer can be with the automatic demonstration group of certain order.For example, computer can show them with the group size sequence, and the maximum group that probably comprises the most frequently used waveform thus at first is presented.In another was implemented, computer at first showed smallest group, as the mode of being seen waveform least commonly used during the outstanding Holter record.In another example, computer utilizes the parsing statement of preexist, in conjunction with rating system, so that group is sorted.For example, being considered as more noticeable parsings may be shown prior to other so not significant parsings.As other another example, computer can make cardiologist divide into groups tightly/pine with the screen adjustment, and allows cardiologist to observe all ECG sets of waveforms and select one group to show.Replacedly, cardiologist can select him or she to want that group of computer demonstration by input command.
[0063] in case one group of selected demonstration of ECG waveform, a collection of/section that computer resolves into waveform or more batches/sections.For example, display may not once show the close set of ECG waveform, because may to showing how many ECG waveforms restricted (depending on computer hardware and/or software) simultaneously.If can not show all ECG waveforms, sets of waveforms is divided into batch, makes every batch waveform quantity be less than or equal the maximum quantity of the waveform that computer once can show.Equally, if the close set of waveform does not surpass the restriction that computer shows, the so described batch of close set that can comprise the ECG waveform.
[0064] then, the wherein a collection of selected cardiologist of presenting to of current group waveform, and this batch is called current demonstration and criticizes.Like this, cardiologist can be from the viewpoint of resolving be criticized current demonstration whether all ECG waveforms all basic identical makes range estimation apace.
[0065] along be shown in batches, cardiologist has several options to use.Cardiologist can change the placement of position of rule on any ECG waveform that is shown.Equally, cardiologist can be new parsing of any subset allocation of the ECG waveform of the ECG waveform of all current demonstrations or current demonstration.For example, cardiologist may be changed into " atrial fibrillation waveform " with parsing from " normal waveform " to the computer input command.In addition, the parsing and the position of rule of any subclass of the ECG waveform of the ECG waveform of all demonstrations or demonstration can be accepted and confirm to cardiologist.Equally, all the ECG waveforms in current group can be accepted and confirm to cardiologist, this current group not only comprise current demonstration in criticizing the ECG waveform and also comprise residue ECG waveform in the current group that is not shown.In addition, if not previous identification of computer and labelling artefact, cardiologist can indicate the ECG waveform that " artefact " arranged by input command.
[0066] in case cardiologist has been made all changes that need and accepted all correct values, computer is just checked still to be needed resolved to understand what batch, group and ECG waveform.If still have not the ECG waveform of observing in the current demonstration group, then computer selects one new batch to show.If current demonstration group is checked fully that then computer selects a new group to show.Cardiologist also can instruct computer repeated packets process or is produced new preliminary parsing.
[0067] in one embodiment, computer shows all ECG waveforms respectively, so that cardiologist can be checked the placement with the verification position of rule.As previously mentioned, each the ECG waveform in determining SVG has aspect some that is used for measured waveform after the one group of relevant position of rule of interval of QT for example, and the verification position of rule can be performed.If computer is carried out its automatically preliminary dissection process according to position of rule, this verification operation will be performed usually.
[0068] the ECG waveform may be displayed in a long the scroll list, ECG waveform of wherein every row.In this case, cardiologist can be selected ECG to be shown or the Holter waveform that leads, and each selected ECG or Holter lead and be covered to identical pattern space and visually distinguished by color.This process allows the cardiologist selection combination that Holter leads or Holter leads to use when checking position of rule.Equally, computer can make the cardiologist original position adjust position of rule.In addition, computer can make cardiologist amplify or enlarge each ECG waveform in addition, and so if necessary scale can be adjusted with higher precision.After the scale setting and position of cardiologist inspected and the whole the scroll list of approval, cardiologist can be accepted whole tabulation by input command.
[0069] as previously mentioned, computer is accepted to incorporate preliminary analytical algorithm into from the feedback of cardiologist and with this feedback.About the variation in the position of rule, computer can use the feedback of cardiologist to train or revise operation or the application program that computer is carried out in the stage early of handling.Particularly, cardiologist provides useful expert info about position of rule for computer, and computer utilizes these information to improve the mode that scale in the future is positioned.Determine that in automated system under the situation of position of rule, computer can produce the electronical record that is used to train automated system.Under human technician's situation, computer can produce the report that scale relatively more initial and that be corrected is placed, and it can be used as the part that the technician trains.
[0070] in case all ECG waveforms of single SVG are processed, computer repeats this process to another SVG.
[0071] in illustrative a, non-restrictive example,, two kinds of basic operating principles is arranged about the display device of computer.At first, display device shows a plurality of ECG waveforms in the single time on screen, and its mode is that cardiologist can determine easily whether they are similar substantially each other.Secondly, display device allows cardiologist to select and handle any required subclass of ECG waveform fast.This processing can cause to be accepted existingly to resolve, will have now to resolve and replace with a new parsing or other actions.Display device also makes cardiologist check any selected subclass of the similar or different of ECG waveform and selection ECG waveform rapidly.Then, computer is handled whole subclass with once-through operation.Equally, if the ECG waveform similarity shows that then a plurality of waveforms allow cardiologist to work quickly, and according to grouping tolerance grouping ECG waveform has guaranteed the ECG waveform each shows batch normally closely similar.
[0072] in order to show a plurality of ECG waveforms in visually the most useful mode, computer aligns them by the time usually.In one example, computer shows every group of ECG waveform in this manner: different ECG wave characters (for example, PRS wave group, R peak, Q-T interval etc.) all closely or are exactly alignd.Accurately alignment is always not possible, because the ECG waveform is always consistent, but as long as the ECG waveform is alignd closely, cardiologist just still can rapid evaluation ECG waveform.
[0073] a kind of method of the ECG of alignment waveform is the R peak alignment waveform according to them.Fig. 8 shows the example of three waveforms according to their R peak alignment.The automatic identification at the R peak of ECG waveform is one and quite knows and standard techniques.In case the R peak of each ECG waveform is identified, the R peak of each continuous ECG waveform that just aligns will produce can accept the good ECG waveform that aligns.
[0074] method of another kind of alignment ECG waveform is to align based on the waveform of alignment according to the RMS error minima of smooth waveform.This method is overlapping with different time migrations with a pair of ECG waveform, and each point that calculates two ECG waveforms is gone up the RMS (root-mean-square) of the difference between voltage.This can obtain having in time migration place a curve of minima, and it provides an extraordinary alignment between the ECG waveform.
[0075] method of another kind of alignment ECG waveform is to align them according to " area below the curve " (" AUC ") maximum.Area below the counterpart of two ECG waveforms of this method comparison finds the time unifying of an optimum.For example, as shown in Figure 9, computer can be estimated the area below the QRS wave group (Fig. 1), and it is labeled as QRS1 in Fig. 9.When the ECG waveform had been aligned, they common AUC will be at the peak value place.
[0076] Fig. 6 shows a flow chart, and it has illustrated the non-limiting example of computer execution with the process of fast resolving ECG track.
[0077] at first, computer selects a SVG to assess (S100).As previously mentioned, computer can select not have SVG processed and that be stored maximum duration.Replacedly, computer can be selected SVG according to preliminary analysis result or according to preliminary (but nonanalytic) The selection result.Preliminary parsing or screening can be undertaken by human technician or automatic computing engine processing procedure.Certainly, cardiologist can order computer to select any specific SVG to resolve.
[0078] then, computer checks that each the ECG waveform among the SVG determines whether to have in the waveform waveform to comprise " artefact " (S200).If the ECG waveform comprises artefact, then computer is with suitable name label ECG waveform.For example, computer adds note can for the coverage diagram (for example, RR interval (Fig. 1)) in the ECG waveform.When computer may adopt the appropriate software analysis programme automatically to detect artefact, cardiologist can be by to computer input appropriate command " manually " note ECG waveform, for example " unmeasured, do not resolve ".
[0079] the ECG waveform by note after, each the ECG waveform among the SVG is analyzed to be used for the position of rule of measured waveform different aspect such as QT interval (S300) to determine whether it comprises.Position of rule normally is the part of input data, and they can be produced by ECG recorder, human technician, the Computer Processing that is different from the ECG recorder or other devices.Equally, computer can be analyzed each ECG waveform automatically and determines whether it comprises position of rule.Replacedly, cardiologist can each waveform of manual observation and input command, and whether the indication waveform has position of rule.
[0080] if there is any ECG waveform to lack position of rule (S300: not), computer analysis ECG waveform and as might distribute position of rule so to waveform.Replacedly, cardiologist can be checked the ECG waveform and be distributed position of rule by computer is imported appropriate command.
[0081] subsequently, computer determines whether each ECG waveform can obtain preliminary parsing (S400).Generally, being contained in the preliminary parsing possibility also can be by human technician or the foundation of another computer program in the ECG Wave data.(S400: not), computer is that waveform generation is tentatively resolved so if the preliminary parsing without any the ECG waveform exists.Equally, in one embodiment, carry out preliminary the parsing if computer is any ECG waveform, it is all the ECG waveforms execution parsings among the SVG so.
[0082] then, computer is checked each ECG waveform and is measured (S500) for each waveform distributes a grouping.As mentioned above, grouping tolerance can be a class value, and these values have reflected some critical aspects of each ECG waveform and can be used for determining how similar two ECG waveforms have to each other.
[0083] in addition, computer can determine whether that any ECG waveform among the SVG all has to come to and can not have the cardiologist approval with regard to received preliminary parsing (S600).If the ECG waveform has enough reliably preliminary a parsing, computer is exempted the further analysis of waveform, and the waveform of removing reliable parsing has reduced the workload of cardiologist.
[0084] then, the grouping of ECG tolerance and other available informations among the computer analysis SVG, and to ECG waveform similar each other among the SVG divide into groups (S700).During the fractional analysis, that computer is regarded the existence of any artefact as previous detection or the cardiologist indication.Equally, computer can be considered the existence of parsing that any existing preliminary parsing, cardiologist provide or the parsing of accepting automatically.In addition, if the position of rule of empirical tests can be used, then computer can be considered them together with other grouping tolerance in fractional analysis.
[0085] Fig. 7 A and 7B show the explanation computer and carry out a flow chart with the non-limiting example of process that ECG waveform similar each other among the SVG is divided into groups.
[0086] initial, computer determines whether to have among the SVG any ECG waveform to comprise artefact (S710).If there is artefact (S710: be) in the ECG waveform, then computer is assigned to waveform in himself the single member grouping (S715).
[0087] similarly, computer determines whether to have among the SVG any ECG waveform to comprise a parsing (S720) final, that accept.Among the embodiment, if computer determines that waveform has enough preliminary reliably the parsing in operation S600, then computer determines that this waveform has a parsing final, that accept.Replacedly or in addition, if waveform has been appointed as final acceptance before the cardiologist, then computer can determine that waveform has a parsing final, that accept.If the ECG waveform has a parsing (S720: be) final, that accept, then no matter parsing final, that accept comes from cardiologist or automatic computing engine is handled, computer can not be included in it (S725) in any group.
[0088] next, computer does not comprise artefact according to the grouping metric grouping of residue ECG and does not have the residue ECG waveform (S730) of parsing final, that accept.In other words, computer is put into one or more groups according to similarity with remaining ECG waveform, so that every group only comprises similar substantially each other waveform.
[0089] as mentioned above, cardiologist has the ability to control the quality of ECG waveform grouping.For example, when computer grouping ECG waveform, the tension that it may divide their (for example, should be brought together) or loose excessively (the ECG waveform that for example, should gather is separated) on the same group ECG waveform not.Every kind of situation has all caused more to cardiologist, and the multiplex (MUX) does.Therefore, cardiologist can order computer to tighten up or loosen its grouping waveform mode.
[0090] specifically, if cardiologist is thought ECG waveform grouping too tight (S740: be), he or she can order computer to loosen computer be used for the dividing into groups grouping metric parameter (S745) of ECG waveform.On the contrary, if cardiologist is thought too pine (S750: be) of ECG waveform grouping, he or she can order computer to tighten up computer be used for the dividing into groups grouping metric parameter (S755) of ECG waveform.Equally, as previously mentioned, computer can use the relation of SOM between representing not on the same group.Specifically, similar ECG waveform is placed into corresponding group, and the similarity between SOM identification group.
[0091] when computer at first with after the ECG waveform among the specific SVG grouping, computer can be on a display display waveform group so that cardiologist can evaluation group.Display can comprise a screen that contains many square frames, and each square frame can show all ECG waveforms of distributing to single group.Equally, computer can cover the ECG waveform, and the doctor can use mouse or other equipment moving cursors to go up and select this to lead and select this Holter to lead to leading.If the same time has too many square frame to fill screen, can set up a roll display, and computer can come to the group differentiation order of priority according to its waveform quantity that comprises.Then, computer can show the square frame corresponding to the closeest group at the top of roll display.
[0092] shown in Fig. 7 B, computer selects which ECG sets of waveforms of demonstration to analyze (S760).For example, as mentioned above, computer can show maximum group at first automatically, or can at first show minimum group.In another was implemented, computer used the parsing statement and the binding analysis system that are pre-existing in to determine to show which group.Equally, cardiologist can select him or she to want the group of computer demonstration by input command.
[0093] in case one group of ECG waveform is selected for demonstration, computer is decomposed into one or more batches (S765) with waveform.For example, display may not once show the close set of ECG waveform, because may to showing how many ECG waveforms restricted (hardware and/or the software that depend on computer) simultaneously.If can not show all ECG waveforms, then sets of waveforms is divided into some batches so that the waveform quantity in every batch is less than or equals the maximum waveform quantity that computer once can show.Equally, if complete sets of waveforms does not surpass the restriction that computer shows, then described batch can comprise complete ECG sets of waveforms.
[0094] then, the wherein a collection of waveform in current group is selected to present to cardiologist (S770).Therefore, cardiologist be evaluated at the ECG waveform in shown batch and determine they whether basic identical (S780).
[0095] for example, when being shown, cardiologist can change the placement of position of rule on any shown ECG waveform in batches.Equally, cardiologist can be ECG waveform or new parsing of its any subset allocation of all current demonstrations.In addition, the ECG waveform that all are shown or the parsing and the position of rule of its any subclass can be accepted and confirm to cardiologist.Equally, if computer had not before been discerned and the labelling artefact, then the cardiologist input command indicates the ECG waveform that " artefact " arranged.
[0096] in case cardiologist has been made all changes that need and accepted all right values, computer just checks that the ECG waveform among what batch, group and the SVG still needs resolved (S785).If still have not observed ECG waveform in the current demonstration group, then computer is selected one new batch in order to show (S785: be).
[0097] (S785: not), then all the ECG waveforms in the computer demonstration group are so that cardiologist can be checked, verify and the placement (S790) of the position of rule of approval group if current demonstration group is checked fully.Equally, as mentioned above, the ECG waveform can be displayed in a long the scroll list, ECG waveform of wherein every row.In this case, cardiologist can be selected ECG to be shown or the Holter waveform that leads, and each ECG that has selected or Holter lead and be covered on the same pattern space, and is visually distinguished by color.The combination that this handle to allow cardiologist to select ECG or Holter leads or ECG or Holter lead is to use when examining position of rule.Equally, as mentioned above, computer makes cardiologist can adjust position of rule.
[0098] as previously mentioned, computer receives and incorporates preliminary analytical algorithm into from the feedback of cardiologist and with this feedback.About the variation of position of rule, computer can utilize the feedback of cardiologist to train or revise operation or the application program that computer is carried out in the stage early of handling.Particularly, cardiologist provides useful specialized information about position of rule for computer, and computer utilizes these information to improve the mode that scale in the future is positioned.Determine that in automated system under the situation of position of rule, computer can produce the electronical record that is used to train automated system.Under human technician's situation, computer can produce the report that scale relatively more initial and that be corrected is placed, and it can be used as the part that the technician trains.
[0099] same, the ECG waveform is fed to computer by the mode of finally resolving and divide into groups, and computer utilizes this type of information to assist it following waveform is resolved and to divide into groups.
[0100] in case all the ECG waveforms among the single SVG are all processed, computer repeats the processing procedure of another SVG.
[0101] in order to illustrate and to describe, the front of exemplary embodiment of the present invention is described and is provided.This should not be considered as detailed or limit the present invention to disclosed detailed form, and is possible or can obtains from the practice of invention according to the some modifications and variations of top instruction.Select and the description exemplary embodiment, so that explain principle of the present invention and practical application thereof, so that those skilled in the art can utilize the present invention with various example embodiment and various modification, described modification is suitable for the use of particular desired.
[0102] therefore, though have only some illustrative embodiment of the present invention to describe in detail in this manual, clearly can carry out many modifications and without departing from the spirit and scope of the present invention to it.In addition, abbreviation only is used for strengthening the readability of description and claims.It should be noted that these abbreviations are not in order to reduce the versatility of used term, and they should not be interpreted as the scope of claim is limited in the example embodiment described in the present disclosure.

Claims (10)

1. method that is used for the experimenter observation group of analysing ECG waveform, described method comprises:
From a plurality of experimenter observation group, select an experimenter observation group;
Whether each the ECG waveform that scans in the described experimenter observation group has artefact, and note contains the ECG waveform of artefact;
Determine whether surveyors' staff is present in each ECG waveform, and for lacking the ECG waveform interpolation surveyors' staff of surveyors' staff;
For each ECG waveform distributes a grouping tolerance; And
Measure according to the grouping of ECG waveform and to separate the ECG waveform in order to show and assessment.
2. according to the described method of claim 1, wherein said method further is included as each the ECG waveform that lacks preliminary parsing and distributes preliminary a parsing.
3. according to the described method of claim 2, wherein said method further comprises the preliminary parsing that automatic acceptance has the ECG waveform of predetermined credibility.
4. according to the described method of claim 3, wherein separate the ECG waveform and comprise that the ECG waveform that will contain accepted parsing separates resolve from other ECG waveform that is grouped.
5. according to the described method of claim 1, wherein separate the ECG waveform and further comprise the ECG waveform that will artefact be arranged and be separated in single member's group and resolve.
6. according to the described method of claim 5, wherein separate the ECG waveform and further comprise the ECG waveform that will lack accepted parsing and be grouped into some groups according to one group of predetermined tolerance.
7. according to the described method of claim 6, wherein said predetermined tolerance is adjusted the grouping that lacks the ECG waveform of accepted parsing with control.
8. according to the described method of claim 1, wherein said method further comprises:
Select one group of ECG waveform that is separated in order to resolve;
Resolve the child group of the ECG waveform that this group is separated; And
Confirm the scale placement of the ECG waveform that this group is separated.
9. according to the described method of claim 1, wherein said method further comprises resolves one group of ECG waveform that is separated in the following manner:
Whether the placement of determining QT surveyors' staff on the ECG waveform is necessary; And
An ECG waveform in the ECG waveform that is separated for this group distributes a parsing.
10. according to the described method of claim 10, wherein said method further comprises the QT that accepts at least one the ECG waveform in the ECG waveform that this group is separated and measures and place and resolve.
CN2006800252608A 2005-05-13 2006-05-15 Method and apparatus for rapid interpretive analysis of electrocardiographic waveforms Expired - Fee Related CN101257841B (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US68052505P 2005-05-13 2005-05-13
US60/680,525 2005-05-13
PCT/US2006/018756 WO2006124788A2 (en) 2005-05-13 2006-05-15 Method and apparatus for rapid interpretive analysis of electrocardiographic waveforms

Publications (2)

Publication Number Publication Date
CN101257841A true CN101257841A (en) 2008-09-03
CN101257841B CN101257841B (en) 2013-06-19

Family

ID=37431984

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2006800252608A Expired - Fee Related CN101257841B (en) 2005-05-13 2006-05-15 Method and apparatus for rapid interpretive analysis of electrocardiographic waveforms

Country Status (6)

Country Link
US (1) US8543193B2 (en)
EP (1) EP1885238B1 (en)
JP (2) JP2008539988A (en)
CN (1) CN101257841B (en)
CA (1) CA2608353C (en)
WO (1) WO2006124788A2 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108366750A (en) * 2015-10-16 2018-08-03 通用电气公司 The system and method for ECG waveform adaptively interpreted
CN108471975A (en) * 2015-12-04 2018-08-31 圣犹达医疗用品心脏病学部门有限公司 Method and system for the electrogram and mapping of statistical analysis local anomaly ventricular activity the local anomaly ventricular activity

Families Citing this family (38)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006123334A2 (en) * 2005-05-17 2006-11-23 Bio Signal Analysis Ltd. Analysis of electrocardiogram signals
US8849381B2 (en) * 2006-07-11 2014-09-30 Robert L. Lux RMS electrocardiography system and method
CN101449973B (en) * 2007-12-04 2010-09-29 深圳迈瑞生物医疗电子股份有限公司 Judgment index generation method and device for cardiac interference signal identification
JP5274087B2 (en) * 2008-04-10 2013-08-28 ニプロ株式会社 ECG display device
US8355927B2 (en) 2010-11-05 2013-01-15 Genomind, Llc Neuropsychiatric test reports
US20110237537A1 (en) * 2009-05-29 2011-09-29 Lombard Jay L Methods for assessment and treatment of mood disorders via single nucleotide polymorphisms analysis
US20120115147A1 (en) * 2010-11-05 2012-05-10 Lombard Jay L Neuropsychiatric test reports
CN102483741A (en) 2009-06-08 2012-05-30 爱尔斯特里普Ip控股有限责任公司 Systems And Methods For Viewing Patient Data
US20110213257A1 (en) * 2010-02-26 2011-09-01 International Business Machines Corporation Method and apparatus for determining a heart period from an ecg waveform using image representation of ecg
EP2385502A1 (en) * 2010-05-04 2011-11-09 Guretruck, S.L. Digitisation method of the information contained in analogue tachographs
US10402782B2 (en) 2012-04-16 2019-09-03 Airstrip Ip Holdings, Llc Systems and methods for and displaying patient data
EP2839429A4 (en) 2012-04-16 2015-11-04 Airstrip Ip Holdings Llc Systems and methods for displaying patient data
EP2838422B1 (en) * 2012-04-16 2018-11-14 AirStrip IP Holdings, LLC Systems and methods for displaying patient data including physiological waveform with calipers
US10610159B2 (en) 2012-10-07 2020-04-07 Rhythm Diagnostic Systems, Inc. Health monitoring systems and methods
US10244949B2 (en) 2012-10-07 2019-04-02 Rhythm Diagnostic Systems, Inc. Health monitoring systems and methods
USD850626S1 (en) 2013-03-15 2019-06-04 Rhythm Diagnostic Systems, Inc. Health monitoring apparatuses
US10413251B2 (en) 2012-10-07 2019-09-17 Rhythm Diagnostic Systems, Inc. Wearable cardiac monitor
CN105239106A (en) * 2012-12-13 2016-01-13 朱海燕 Chain type SVG (static var generator) device for correctable power factor for three-phase power supply
US10460409B2 (en) 2013-03-13 2019-10-29 Airstrip Ip Holdings, Llc Systems and methods for and displaying patient data
USD921204S1 (en) 2013-03-15 2021-06-01 Rds Health monitoring apparatus
US10262382B2 (en) 2013-03-15 2019-04-16 Airstrip Ip Holdings, Llc Systems and methods for and displaying patient data
CN103610459B (en) * 2013-10-25 2017-03-15 西安华旗电子技术有限公司 dynamic electrocardiogram real-time display system
JP6656835B2 (en) * 2015-07-24 2020-03-04 日本光電工業株式会社 Measurement point correction method, measurement point automatic correction device, measurement point automatic correction program, and computer-readable storage medium storing measurement point automatic correction program
US10524680B2 (en) 2015-08-31 2020-01-07 Ventrilink Corporation Electrocardiogram device and methods
US10441184B2 (en) 2016-03-16 2019-10-15 Ventrilink Corporation Electrocardiogram device and methods
CN105769177A (en) * 2016-04-01 2016-07-20 佛山市质量计量监督检测中心 Electrocardiograph signal examination record analyzing device
US20190175118A1 (en) * 2016-04-15 2019-06-13 Koninklijke Philips N.V. Ecg training and skill enhancement
WO2017182622A1 (en) * 2016-04-21 2017-10-26 Koninklijke Philips N.V. Adaptive visualization of electrocardiogram
KR102570069B1 (en) 2016-05-26 2023-08-23 삼성전자주식회사 Method for removing noise in ecg sensor signal and apparatus thereof
FI128598B (en) * 2019-03-22 2020-08-31 Tampereen Korkeakoulusaeaetioe Sr An apparatus and a method for QT correction
WO2021019984A1 (en) * 2019-07-29 2021-02-04 株式会社カルディオインテリジェンス Electrocardiogram display device, electrocardiogram display method, and program
EP4021293A4 (en) 2019-08-28 2023-08-09 Rds Vital signs or health monitoring systems and methods
CN112826514B (en) * 2019-11-22 2022-07-22 华为技术有限公司 Atrial fibrillation signal classification method, device, terminal and storage medium
US20210232914A1 (en) * 2020-01-17 2021-07-29 Ever Fortune.Ai Co., Ltd. Method for building a heart rhythm classification model
US11523766B2 (en) 2020-06-25 2022-12-13 Spacelabs Healthcare L.L.C. Systems and methods of analyzing and displaying ambulatory ECG data
WO2021262171A1 (en) * 2020-06-25 2021-12-30 Spacelabs Healthcare L.L.C. Systems and methods of analyzing and displaying ambulatory ecg data
KR102241799B1 (en) * 2020-08-06 2021-04-19 주식회사 에이티센스 Method and electronic apparatus for providing classfication data of ecg detection signal
US20230388520A1 (en) * 2022-05-27 2023-11-30 Vektor Medical, Inc. Encoding electrocardiographic data

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6463320B1 (en) * 1999-12-22 2002-10-08 Ge Medical Systems Information Technologies, Inc. Clinical research workstation
US6507753B1 (en) * 2000-08-09 2003-01-14 Ge Marquette Medical Systems, Inc. Method and apparatus to detect acute cardiac syndromes in specified groups of patients using ECG
US20030073914A1 (en) * 2001-10-11 2003-04-17 Taha Basel H. Method and apparatus for the serial comparison of electrocardiograms
US20030176802A1 (en) * 2002-03-14 2003-09-18 Inovise Medical, Inc. Color-coded ECG

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4583553A (en) 1983-11-15 1986-04-22 Medicomp, Inc. Ambulatory ECG analyzer and recorder
JPS6399840A (en) * 1986-10-17 1988-05-02 テルモ株式会社 Bio-signal measuring apparatus
US5047930A (en) * 1987-06-26 1991-09-10 Nicolet Instrument Corporation Method and system for analysis of long term physiological polygraphic recordings
US4989610A (en) * 1987-11-16 1991-02-05 Spacelabs, Inc. Method and system of ECG data review and analysis
JPH02198538A (en) * 1989-01-27 1990-08-07 Nec Corp Extrasystole confirming apparatus for electrocardiogram
US5090418A (en) * 1990-11-09 1992-02-25 Del Mar Avionics Method and apparatus for screening electrocardiographic (ECG) data
US5224486A (en) * 1992-02-28 1993-07-06 Hewlett-Packard Company Method and apparatus for classifying heartbeat waveforms
US5311867A (en) * 1993-01-04 1994-05-17 Biomagnetic Technologies, Inc. Detection and grouping analysis of cardiac cycles
JP2665161B2 (en) * 1994-08-25 1997-10-22 栃木日本電気株式会社 ECG analysis method
US5628326A (en) * 1995-11-29 1997-05-13 Hewlett-Packard Company Calculating a heart rate from an ECG waveform by discarding a percentage of R-R intervals prior to averaging
JPH09173310A (en) * 1995-11-29 1997-07-08 Hewlett Packard Co <Hp> Method and device for classifying heartbeats from ecg waveform
EP0828225A1 (en) * 1996-09-04 1998-03-11 Siemens Aktiengesellschaft Process and means for analysing EEG data
US5792065A (en) 1997-03-18 1998-08-11 Marquette Medical Systems, Inc. Method and apparatus for determining T-wave marker points during QT dispersion analysis
JP4564610B2 (en) * 1999-06-30 2010-10-20 大日本住友製薬株式会社 State quantity display device and state quantity display method
US6580817B2 (en) 2001-05-17 2003-06-17 A.M.P.S., Llc Apparatus and method for reading and analyzing ECG images
US20040054295A1 (en) 2002-09-18 2004-03-18 Ramseth Douglas J. Method and apparatus for interactive annotation and measurement of time series data with automatic marking
US7424137B2 (en) * 2003-04-24 2008-09-09 A.M.P.S. L.L.C. Method and system for converting paper ECG printouts to digital ECG files
US20060241725A1 (en) * 2005-04-25 2006-10-26 Imad Libbus Method and apparatus for simultaneously presenting cardiac and neural signals

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6463320B1 (en) * 1999-12-22 2002-10-08 Ge Medical Systems Information Technologies, Inc. Clinical research workstation
US6507753B1 (en) * 2000-08-09 2003-01-14 Ge Marquette Medical Systems, Inc. Method and apparatus to detect acute cardiac syndromes in specified groups of patients using ECG
US20030073914A1 (en) * 2001-10-11 2003-04-17 Taha Basel H. Method and apparatus for the serial comparison of electrocardiograms
US20030176802A1 (en) * 2002-03-14 2003-09-18 Inovise Medical, Inc. Color-coded ECG

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108366750A (en) * 2015-10-16 2018-08-03 通用电气公司 The system and method for ECG waveform adaptively interpreted
CN108366750B (en) * 2015-10-16 2022-06-28 通用电气公司 System and method for adaptive interpretation of ECG waveforms
CN108471975A (en) * 2015-12-04 2018-08-31 圣犹达医疗用品心脏病学部门有限公司 Method and system for the electrogram and mapping of statistical analysis local anomaly ventricular activity the local anomaly ventricular activity
CN108471975B (en) * 2015-12-04 2020-11-17 圣犹达医疗用品心脏病学部门有限公司 Method and system for statistically analyzing electrograms of and mapping locally abnormal ventricular activity

Also Published As

Publication number Publication date
US20060264769A1 (en) 2006-11-23
US8543193B2 (en) 2013-09-24
JP5766738B2 (en) 2015-08-19
JP2013150857A (en) 2013-08-08
EP1885238A2 (en) 2008-02-13
CN101257841B (en) 2013-06-19
WO2006124788A2 (en) 2006-11-23
WO2006124788A3 (en) 2007-12-06
CA2608353A1 (en) 2006-11-23
EP1885238A4 (en) 2010-03-03
EP1885238B1 (en) 2018-04-04
CA2608353C (en) 2016-10-18
JP2008539988A (en) 2008-11-20

Similar Documents

Publication Publication Date Title
CN101257841B (en) Method and apparatus for rapid interpretive analysis of electrocardiographic waveforms
US7702382B2 (en) Multi-tier system for cardiology and patient monitoring data analysis
DK1814451T3 (en) A SYSTEM AND APPARATUS TO DETECT A HEART EVENT
US6607480B1 (en) Evaluation system for obtaining diagnostic information from the signals and data of medical sensor systems
JP2008523929A (en) Automatic processing of electrophysiological data
US20210338135A1 (en) Determining device and mapping system for origin of arrhythmia
US8055331B2 (en) Method and apparatus for sequenced extraction from electrocardiogramic waveforms
WO2008064682A2 (en) A system and a method for dimensionality reduction of ecg signals for ecg analysis and presentation
Murgatroyd et al. Identification of Atrial Fibrillation Episodes in Ambulatory Electrocardiographic Recordings: Validation of a Method for Obtaining Labeled R‐R Interval Files
CN106456033A (en) Ecg evaluation
Aranda et al. Performance of Dower's inverse transform and Frank lead system for identification of myocardial infarction
Gillette et al. Medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations
CN109069046A (en) ECG is trained and technical ability improves
US20110021933A1 (en) Methods and Systems for Use in Determination of a Patient&#39;s Heart Condition
WO2021242096A1 (en) Ecg based method providing genetic cardiac disease detection
Zenger et al. Pharmacological and simulated exercise cardiac stress tests produce different ischemic signatures in high-resolution experimental mapping studies
Zusterzeel et al. The 43rd International Society for Computerized Electrocardiology ECG initiative for the automated detection of strict left bundle branch block
Madias Manual-based versus automation-based measurements of the amplitude of QRS complexes and T waves in patients with changing edematous states: clinical implications
Bergquist et al. Body Surface Potential Mapping: Contemporary Applications and Future Perspectives. Hearts 2021, 2, 514–542
Stabenau et al. Limits of the spatial ventricular gradient and QRST angles in patients with normal electrocardiograms and no known cardiovascular disease stratified by age, sex, and race
Good Characterizing the Transient Electrophysiological Signature of Acute Myocardial Ischemia
WO2023033654A1 (en) Computer implemented cardiac activity anomaly detection
CN116471992A (en) Electrophysiology systems and methods for assessing small reentrant sites
Rosenthal Electrocardiography
Mohindra Body-surface potential mapping to aid optimal programming of cardiac resynchronization therapy devices.

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
REG Reference to a national code

Ref country code: HK

Ref legal event code: DE

Ref document number: 1123477

Country of ref document: HK

C14 Grant of patent or utility model
GR01 Patent grant
REG Reference to a national code

Ref country code: HK

Ref legal event code: WD

Ref document number: 1123477

Country of ref document: HK

CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130619